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Management.[taliem.ir]

Management of Anemia

While kidney disease can be a result of many different etiologies, its functional marker is a rise in serum creatinine, a decline in estimated glomerular fltration rate (eGFR), or a change in urine to include proteinuria or proteinuria plus hematuria. Because serum creatinine is not linearly related to kidney function given that it is confounded by the amount of muscle mass of the person in which it is measured, itis necessary to estimate kidney function using one of three formulae that convert serum creatinine to estimated glomerular fltration rate (eGFR) or creatinine clearance (CrCl). The MDRD and CKD-EPI formulae are both used to calculate eGFR , while the Cockcroft-Gault formula can be used to calculate CrCl (Table 1.1). Both measures (eGFR and CrCl) are provided in units of milliliters per minute and measure how much blood is “cleaned” or “processed” by the kidney per minute. While there is no defned “normal” for eGFR and CrCl, key points to remember are that any values around 100 mL/min are likely not to represent a decline in kidney function. As eGFR and CrCl decline, an individual has less kidney function and more advanced levels of kidney disease and can be used to describe the stage of kidney disease for the individual (Table 1.2) .
Dividend Policy from the Signaling Perspective and its Effects on[taliem.ir]

Dividend Policy from the Signaling Perspective and its Effects on Information Asymmetry among Management and Investors

This study attempts to examine the relevance of dividend policy from the signaling perspective and its effects on information asymmetry among management and investors and Compare the relative information content of them. Based on sampling, 88 firms from Tehran Stock Exchange (TSE) were selected and examined during 2003 to 2010. The findings show that the dividend policy (Divisible profit proportion) has positive and significant relation with market information asymmetry namely when the dividend policy increases the information asymmetry increases, too. On the other side, the test findings indicate the investors are sensitive to the EPS changes and when the EPS changes are positive their dividend increases, but when the divivend of the company decreases the information boggles their mind and information asymmetry increases. By virtue of the findings it may conclude when EPS and DPS changes are not in the same direction the internal and external information asymmetry of the company increases by changing profit division policy.
Asset Management Software Implementation[taliem.ir]

Asset Management Software Implementation Challenges for Electricity Companies

Electricity markets across Europe have changed significantly over the last years as market liberalization, changing power generation dynamics, privatization and structural change have replaced the state in which European energy was before. The European Commission expects that the internal European Market should run as one market without restrictions on the individual borders. The change continues with ongoing moves for further market liberalization and competition with a number of major European energy businesses. To be ready for such alternation, businesses need to redesign their existing business processes using ICT solutions as an important enabling factor. Current article analyzes the main challenges of implementation phase of Asset Management software. The challenges are analyzed in example of Estonian power utility Eesti Energia locating in Republic of Estonia, which Distribution and Transmission Network companies are currently implementing Asset Management software within project called VHT. The project’s 1st phase go live date is the 1st of June, 2009 .
High Performance , Hospital, Management[taliem.ir]

High Performance in Hospital Management

What can we learn from other health systems? – What do the different stakeholders expect from their health system? – How innovative is your hospital? – Which managerial attitudes are not sustainable? This chapter introduces different health systems and health care costs. Over the past few years a new market-driven orientation of hospitals has taken place. We elaborate on the Kutzin framework to improve effciencies of health systems and highlight what the different stakeholders can anticipate with regard to a health system. In addition, the expectations of health care users in developing and developed countries are debated. The chapter ends with a questionnaire to investigate how innovative your hospital is and how you can engage in the innovation process.
Clinical Management of[taliem.ir]

Clinical Management of Pulmonary Disorders and Diseases

Non-small cell lung cancer (NSCLC) is a serious health problem. Identifying factors affecting quality of life (QoL) may help modify risk factors and improve survival. The study included 180 patients treated for NSCLC in the Lower Silesian Center of Lung Diseases between January and December 2015. QoL was assessed with QLQ-C30 and QLQ-LC13 scales. General physical functioning was measured with the ECOG Performance Status scale. The clinical and sociodemographic data were retrieved from medical records. The influence of clinical and sociodemographic factors on QoL was examined. NSCLC reduced the global QoL (47.1  23.4) and emotional functioning (57.8  28.8); cognitive functioning was affected in least (76.0  21.0). The patients reported fatigue (42.2  26.2), sleep problems (42.0  30.8), cough (49.8  24.0), and taking analgesics (50.3  37.1) as the most limiting factors. The worsening of a health condition expressed by the length of malignant disease; the presence of comorbidities, metastases, the cluster of symptoms, worse spirometric indices, and living alone had a negative influence on QoL. In conclusion, patients with NSCLC experience reduced QoL and emotional functioning. Proper treatment of comorbidities and symptom management may improve QoL in these patients.
Using Data Mining to[taliem.ir]

Using Data Mining to Detect Insurance Fraud

Insurance companies lose millions of dollars each year through fraudulent claims, largely because they do not have a way to easily determine which claims are legitimate and which may be fraudulent. To ensure that adjusters target claims which have the greatest likelihood of adjustment, many insurance companies have incorporated IBM SPSS data mining into their investigating and auditing processes. This report describes how data mining techniques can enable you to improve accuracy and save time, money and resources.
Real-time railway traffic management optimization[taliem.ir]

Real-time railway traffic management optimization and imperfect information: preliminary studies

Railway traffic is often perturbed by unexpected events and appropriate train routing and scheduling shall be applied to minimize delay propagation. A number algorithms for this routing and scheduling problem have been proposed in the literature and they have been tested in different traffic situations. Nonetheless, their performance are almost always studied considering perfect knowledge of future traffic conditions, which is almost impossible to achieve in reality. In this paper, we propose an experimental analysis assessing the usefulness of these algorithms in case of imperfect information. We consider RECIFE-MILP as a traffic management algorithm and advanced or delayed train entrance times in the control area as the source of imperfect information. The results show that the application of traffic management optimization allows outperforming the firstcome-first-served management strategy even if the actual traffic conditions are not perfectly known by the optimization algorithm.
Layered Structure and Management in Internet of Things[taliem.ir]

Layered Structure and Management in Internet of Things

The development for Internet of Things and RFID technology is described in this paper. A feasible scheme and layered structure is proposed for Internet of Things. Its management is presented according to the demand for Internet of Things in China. The general system contains two parts: computer information subsystem and RFID terminal subsystem, the latter of which is the main focus. The management protocol for Internet of Things explored in the paper includes SNMP and RFID managing protocol (RFIDMP).
CogNet A Network Management Architecture[taliem.ir]

CogNet: A Network Management Architecture Featuring Cognitive Capabilities

It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-tomachine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic selfmanaging network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) realtime learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks.
Power Management over Co-channel Femtocells in[taliem.ir]

Power Management over Co-channel Femtocells in LTE-A Systems

The use of femtocells has been an attractive solution since it achieves better coverage and capacity and low cost for deployment and maintenance. However, their performance can be compromised by the cross-tier interference with existing macrocell infrastructure or between adjacent femtocells, especially in the case of co-channel deployment. One way to address this, is adjusting the transmit power of every femto base station with respect for overall performance. To this direction, we have implemented a framework that simulates femtocell overlays over LTE-Advanced (LTE-A) macrocellular systems. The framework allows power management over user-defined femtocell deployment, deciding their power levels according to three different power schemes. The resulting throughput is presented for every point of the macrocell in a user-friendly GUI. In this paper, we present the design of this framework and discuss the results.